We would like to express our sincere appreciation to the outstanding speakers and enthusiastic audience whose unwavering support made the BioSolveIT 2023 DrugSpace symposium an immense success. This year’s event focused on the forefront topics of artificial intelligence, machine learning, big data processing, and neural networks, attracting a large number of eager participants seeking to explore the latest advancements in drug discovery.
We are delighted to share that the symposium recordings are now available on our YouTube channel. This allows you the convenience of revisiting the valuable content at any time, immersing yourself once again in the high-quality discussions that took place during the event.
Recordings (via Youtube):
- Nick Antonopoulos (DeepLab): Scalable and High-Throughput Deep Neural Virtual Screening [Slides as PDF]
- Christoph Grebner (Sanofi): AI-Driven Mining of Accessible Chemical Spaces
- Philippe Schwaller (École Polytechnique Fédérale de Lausanne): AI-Accelerated Organic Synthesis
- Connor Coley (Massachusetts Institute of Technology): Learning to Navigate Synthetically Accessible Chemical Space [Slides as PDF]
- Henry van den Bedem (Atomwise): An Efficient Graph Generative Model for Navigating Ultra-Large Combinatorial Synthesis Libraries
- Yurii Moroz (ChemSpace): Making Virtual REAL: Creation and Use ofthe Giga-Scale Chemical Spaces [Slides as PDF]
- Marcus Gastreich (BioSolveIT): Claw Machines for Exploding Chemical Spaces [Slides as PDF]
- Quentin Perron (Iktos): Yes, You Should Use AI for MedicinalChemistry
Please stay tuned for future updates and further recordings.